Computational models and heuristic methods for Grid scheduling problems
Future Generation Computer Systems
Towards Inter-cloud Schedulers: A Survey of Meta-scheduling Approaches
3PGCIC '11 Proceedings of the 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
AINA '12 Proceedings of the 2012 IEEE 26th International Conference on Advanced Information Networking and Applications
An Architectural Strategy for Meta-scheduling in Inter-clouds
WAINA '12 Proceedings of the 2012 26th International Conference on Advanced Information Networking and Applications Workshops
Meta-scheduling issues in interoperable HPCs, grids and clouds
International Journal of Web and Grid Services
Design and Optimization of Traffic Balance Broker for Cloud-Based Telehealth Platform
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Cloud computing offers significant advantages to Internet users by deploying hosted services via bespoke service-provisioning environments. In advance, the emergence of Inter-Cloud increases the competences and opportunities of clients for a wider resource provision selection. This extends current capabilities by decoupling users from cloud providers while at the same time cloud providers offer an augmented service delivery mean. In practice, cloud users make use of their brokering component for selecting the best available resource, in terms of computational power and software licensing of a datacenter based on service level agreements for service execution. However, from the cloud perspective, the overall choice for balancing the different workloads within the Inter-Cloud is a complex decision. This article explores the performance of an Inter-Cloud to measure the utilization levels among their sub-clouds for various job submissions. With this in mind, the solution is modeled for achieving load balancing based on historical records from past service execution experiences. The record files are composed in the form of log files that keep related information about the size of the Inter-Cloud, basic specifications, and job submission parameters. Finally, the solution is integrated in a simulated setting for exploring the performance of the approach for various heavy workload submissions.